Product Manager

Black Nova Venture Capital

. Drive the product lifecycle for AI products from discovery through delivery .

Posted 10/8/2026full-timeMelbourne • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving the product lifecycle for AI products, leveraging user research and customer data to inform decisions. Proven ability to collaborate with cross-functional teams to deliver AI capabilities that enhance customer workflows and resolve issues effectively.

Highest-signal resume keywords

Product Management ExperienceAI/ML Product DevelopmentTechnical Product RoleAPI and Cloud Infrastructure ExperienceCustomer-Focused Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementAI Product DevelopmentData AnalysisExperimentation and ValidationMetrics Tracking

Soft Skills

CollaborativeAdaptableCustomer-FocusedData-DrivenResilient

Tools & Technologies

APIsCloud InfrastructureObservability ToolsMonitoring ToolsContact Center Technology

Industry Keywords

SaaSEnterprise SoftwareTechnical ProductsStartup EnvironmentHigh-Growth Environment

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Drive the product lifecycle for AI products from discovery through delivery
Deliver the roadmap for AI capabilities across the platform, including explaining data, running investigations, recommending fixes, and surfacing runbooks
Identify where AI adds real customer value versus noise
Work closely with customers to understand investigation and issue-resolution workflows
Shape AI products around customer workflows
Define how investigations are shared and saved across teams
Validate product decisions through experimentation
Use user research, customer data, and usage patterns to guide decisions
Define and track metrics measuring whether AI products help customers resolve problems faster
Report to the CPO and collaborate with designers, developers, and data experts

Requirements

What you’ll need

3+ years of Product Management experience in a SaaS or enterprise software environment
At least 2 years in a technical product role
Bachelor’s degree in Engineering, Computer Science, Business, or a related field
Strong technical background or demonstrated ability to work with technical products and engineering teams
Experience with APIs, integrations, or cloud infrastructure
Experience with AI/ML products
Experience shipping AI products that solve real problems
Understanding of LLM strengths and limitations
Experience working in a startup or high-growth environment, ideally with enterprise customers
Proven track record of building and launching products with design and engineering teams
Familiarity with observability, monitoring, or contact center technology is a bonus
Entrepreneurial, customer-focused, data-driven, collaborative, adaptable, accountable, and resilient approach

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement
Melbourne-based role